The present disclosure relates to a method and a device for replacing an insecticide component, and a storage medium. The method includes acquiring historical distribution information at a location of an insect exterminator device that includes comprising the insecticide component, wherein the historical distribution information includes a set of distribution densities of insects collected within a preset time period; determining a serviceable time period of the insecticide component of the insect exterminator device based on the distribution information of insects and a preset capacity for the insect exterminator device to deal with insects; acquiring a serving time period of the insecticide component; determining a remaining time period based on the serviceable time period and the serving time period; and generating prompt information for replacing the insecticide component when the remaining time period is less than or equal to a threshold time period.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for replacing an insecticide component, comprising: acquiring historical distribution information at a location of an insect exterminator device that includes comprising the insecticide component, wherein the historical distribution information includes a set of distribution densities of insects collected within a preset time period; determining a serviceable time period of the insecticide component of the insect exterminator device based on the distribution information of insects and a preset capacity for the insect exterminator device to deal with insects; acquiring a serving time period of the insecticide component; determining a remaining time period based on the serviceable time period and the serving time period; and generating prompt information for replacing the insecticide component when the remaining time period is less than or equal to a threshold time period, wherein acquiring the historical distribution information comprises: acquiring environmental information of the location, the environmental information including an address of the location, a height of the location, and environment of the location; sending to a server a distribution request for requesting the historical distribution information, the distribution request including the environmental information: and receiving the historical distribution information sent by the server.
The invention relates to a method for optimizing insecticide replacement in exterminator devices by analyzing insect distribution patterns and device performance. The method addresses the challenge of determining when an insecticide component in an exterminator device needs replacement, ensuring effective pest control while minimizing unnecessary maintenance. The method begins by collecting historical insect distribution data at the device's location, including insect densities over a preset time period. Environmental details such as address, height, and surroundings are also gathered and sent to a server to retrieve the relevant distribution data. Using this information, the method calculates the serviceable time period of the insecticide component based on the insect distribution patterns and the device's capacity to handle pests. The current serving time of the component is then compared to this serviceable period to determine the remaining usable time. If the remaining time falls below a predefined threshold, the system generates a prompt to replace the insecticide component. This approach ensures timely maintenance by leveraging historical insect activity data and device performance metrics, improving pest control efficiency and reducing manual monitoring efforts.
2. The method according to claim 1 , wherein determining the serviceable time period comprises: estimating a density of insects at the location based on the historical distribution information; and determining the serviceable time period based on the density of the insects and the preset capacity.
This invention relates to a method for determining a serviceable time period for an insect control system based on insect density and system capacity. The method addresses the challenge of optimizing the operational efficiency of insect control systems by dynamically adjusting service intervals according to real-world conditions. The method involves estimating the density of insects at a specific location using historical distribution information. This estimation helps predict the rate at which insects may accumulate or become active, allowing for more accurate scheduling. The serviceable time period is then determined by comparing the estimated insect density against a preset capacity of the insect control system. The preset capacity represents the maximum number of insects the system can effectively manage before requiring maintenance or intervention. By balancing these factors, the method ensures the system operates within its optimal range, preventing overuse or underutilization. This approach improves resource allocation and maintenance planning, reducing downtime and enhancing the overall effectiveness of insect control measures. The method is particularly useful in environments where insect populations fluctuate, such as agricultural fields, urban pest management, or food storage facilities. By dynamically adjusting service intervals, the system maintains consistent performance while minimizing unnecessary interventions.
3. The method according to claim 1 , wherein acquiring the historical distribution information comprises: acquiring the historical distribution information from the insect exterminator device.
This invention relates to a method for managing insect extermination using historical distribution data. The problem addressed is the need for more effective and targeted insect control by leveraging past extermination data to optimize current and future pest management efforts. The method involves acquiring historical distribution information of insects from an insect exterminator device. This data includes records of where and when insect extermination activities have occurred, as well as the types and quantities of insects encountered. The exterminator device may be a robotic or automated system equipped with sensors and extermination tools, such as traps, sprays, or other pest control mechanisms. The device collects and stores data on insect activity, which is then analyzed to identify patterns, high-risk areas, and optimal extermination strategies. By accessing this historical data, the method enables more precise and efficient pest control. For example, the system can predict future insect outbreaks based on past trends, adjust extermination schedules dynamically, and target specific locations where infestations are likely to recur. This approach reduces the need for manual inspections and improves the overall effectiveness of pest management programs. The method may also integrate with other data sources, such as environmental conditions or user-reported sightings, to enhance accuracy. The goal is to create a self-improving system that continuously refines its extermination strategies based on real-world performance.
4. A device for replacing an insecticide component, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to: acquire historical distribution information at a location of an insect exterminator device that includes the insecticide component, wherein the historical distribution information includes a set of distribution densities of insects collected within a preset time period; determine a serviceable time period of an insecticide component of the insect exterminator device based on the distribution information of insects and a preset capacity for the insect exterminator device to deal with insects; acquire a serving time period of the insecticide component; determine a remaining time period based on the serviceable time period and the serving time period; and generate prompt information for replacing the insecticide component when the remaining time period is less than or equal to a threshold time period, wherein when acquiring the historical distribution information, the processor is further configured to: acquire environmental information of the location, the environmental information including an address of the location, a height of the location, and environment of the location; send to a server a distribution request for requesting the historical distribution information, the distribution request including the environmental information; and receive the historical distribution information sent by the server.
The invention relates to a device for managing and replacing insecticide components in insect exterminator devices. The device monitors insect distribution patterns to predict when an insecticide component needs replacement. It acquires historical insect distribution data from a server, including insect densities collected over a preset time period at the exterminator device's location. Environmental factors such as address, height, and local conditions are also considered. The device calculates the remaining useful life of the insecticide component by comparing its current service time against a serviceable time period, which is determined based on insect distribution trends and the exterminator device's capacity. When the remaining time falls below a predefined threshold, the device generates a prompt to replace the component. This system ensures timely maintenance by analyzing real-world insect activity and environmental conditions, optimizing insect control efficiency.
5. The device according to claim 4 , wherein, when determining the serviceable time period, the processor is further configured to: estimate a density of insects at the location based on the historical distribution information; and determine the serviceable time period based on the density of the insects and the preset capacity.
This invention relates to a device for managing insect control services, particularly for determining an optimal serviceable time period based on insect density and system capacity. The device includes a processor that analyzes historical distribution information to estimate the density of insects at a specific location. Using this estimated density and a preset capacity of the system, the processor calculates a serviceable time period, which represents the duration during which the device can effectively control the insect population. The preset capacity refers to the maximum number of insects the system can handle before requiring maintenance or replenishment. The device may also include sensors or data inputs to gather real-time or historical insect activity data, which the processor uses to refine its estimates. The system ensures efficient insect control by dynamically adjusting service intervals based on actual insect presence, preventing overuse or underuse of resources. This approach optimizes maintenance schedules and reduces operational costs while maintaining effective pest management. The invention is particularly useful in agricultural, industrial, or residential settings where precise insect control is critical.
6. The device according to claim 4 , wherein, when acquiring the historical distribution information, the processor is further configured to: acquire the historical distribution information from the insect exterminator device.
This invention relates to a device for managing insect extermination, specifically addressing the challenge of efficiently collecting and utilizing historical distribution data to improve pest control operations. The device includes a processor that acquires historical distribution information from an insect exterminator device, which likely involves tracking insect activity patterns, treatment effectiveness, and environmental conditions over time. By analyzing this data, the system can optimize extermination strategies, such as adjusting treatment schedules, targeting high-risk areas, or predicting future infestations. The processor may also integrate additional data sources, such as weather conditions or user-reported sightings, to enhance accuracy. The device ensures real-time or periodic updates to maintain an up-to-date pest distribution map, enabling proactive and data-driven extermination efforts. This approach reduces reliance on manual inspections and improves resource allocation, leading to more effective and sustainable pest management. The system may be part of a larger networked solution, where multiple exterminator devices and data sources contribute to a centralized database for comprehensive analysis. The invention aims to streamline pest control operations, minimize chemical usage, and enhance overall efficiency in managing insect populations.
7. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a device, cause the device to: acquire historical distribution information at a location of an insect exterminator device that includes the insecticide component, wherein the historical distribution information includes a set of distribution densities of insects collected within a preset time period; determine a serviceable time period of an insecticide component of the insect exterminator device based on the distribution information of insects and a preset capacity for the insect exterminator device to deal with insects; acquire a serving time period of the insecticide component; determine a remaining time period based on the serviceable time period and the serving time period; and generate prompt information for replacing the insecticide component when the remaining time period is less than or equal to a threshold time period, wherein when acquiring the historical distribution information, the instructions further cause the device is caused to: acquire environmental information of the location, the environmental information including an address of the location, a height of the location, and environment of the location; send to a server a distribution request for requesting the historical distribution information, the distribution request including the environmental information; and receive the historical distribution information sent by the server.
This invention relates to a system for managing insect exterminator devices that use insecticide components. The problem addressed is the need to predict when an insecticide component in such a device requires replacement based on insect activity patterns and device capacity. The system acquires historical distribution information at the device's location, including insect collection densities over a preset time period. Environmental data such as address, height, and local conditions are also gathered and sent to a server to retrieve relevant historical insect distribution data. Using this information, the system determines the serviceable time period of the insecticide component by analyzing insect activity trends and the device's capacity to handle insects. The system then compares the component's current serving time with the serviceable period to calculate the remaining usable time. If this remaining time falls below a predefined threshold, the system generates a prompt to replace the insecticide component. This approach ensures timely maintenance of the device, optimizing its effectiveness in controlling insect populations.
8. The non-transitory computer-readable medium according to claim 7 , wherein, when determining the serviceable time period, the instructions further cause the device to: estimate a density of insects at the location based on the historical distribution information; and determine the serviceable time period based on the density of the insects and the preset capacity.
This invention relates to a system for managing pest control services using historical insect distribution data. The system estimates the density of insects at a specific location by analyzing historical distribution information, then determines a serviceable time period based on the estimated insect density and a preset capacity of the pest control system. The preset capacity refers to the maximum number of insects the system can effectively manage within a given timeframe. By dynamically adjusting the serviceable time period according to insect density, the system optimizes resource allocation and ensures efficient pest control operations. The historical distribution information may include past insect activity patterns, environmental conditions, and geographical data. The system processes this data to predict future insect activity and adjust service schedules accordingly. This approach improves the accuracy of pest control interventions and reduces unnecessary service calls, enhancing overall efficiency. The invention is particularly useful in agricultural, urban, or industrial settings where precise pest management is critical.
9. The non-transitory computer-readable medium according to claim 7 , wherein, when acquiring the historical distribution information, the instructions further cause the device to: acquire the historical distribution information from the insect exterminator device.
The invention relates to a system for managing and analyzing insect extermination data. The problem addressed is the need for efficient collection and processing of historical distribution information about insect populations to improve extermination strategies. The system includes a non-transitory computer-readable medium storing instructions that, when executed, enable a device to acquire and analyze this data. Specifically, the device retrieves historical distribution information directly from an insect exterminator device, which may include data on insect sightings, extermination effectiveness, and environmental conditions. This data is used to generate insights into insect behavior, migration patterns, and optimal extermination methods. The system may also involve processing this data to identify trends, predict future outbreaks, and recommend targeted extermination actions. The invention aims to enhance pest control efficiency by leveraging real-time and historical data from extermination devices, reducing reliance on manual data collection and improving decision-making for pest management.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
December 4, 2018
March 15, 2022
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.